Searching the Encrypted Cloud Data using Fast Phrase Search Algorithm

Authors

  • MC Priyanka  SV Engineering College for Women, Tirupati, Andhra Pradesh, India
  • A. Saritha  SV Engineering College for Women, Tirupati, Andhra Pradesh, India

Keywords:

Conjunctive keyword search, Phrase search, Privacy, Security, Encryption

Abstract

Cloud computing has created a lot enthusiasm for the examination network as of late for its numerous aspects of curiosity, nevertheless has likewise carry protection and safety considerations. The ability and entry of private archives had been distinguished as one of the vital focal problems in the zone. Chiefly, countless professionals explored solutions for appear over scrambled archives put away on faraway cloud servers. Whilst numerous plans were proposed to participate in conjunctive watchword appear, much less consideration has been famous on extra distinctive seeking programs. On this paper, we present an expression look system in gentle of Bloom channels that's essentially quicker than existing preparations, with comparative or better stockpiling and correspondence price. Our system utilizes a development of n-gram channels to support the usefulness. The plan shows an exchange off amongst potential and false confident cost, and is flexible to defend in opposition to incorporation connection assaults. An overview method in view of software’s function false optimistic expense is likewise portrayed.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-10-30

Issue

Volume 3, Issue 7, September-October-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
MC Priyanka, A. Saritha, " Searching the Encrypted Cloud Data using Fast Phrase Search Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.259-265, September-October-2018.